A Neural Model for Stereo Transparency with the Population of the Disparity Energy Models
نویسنده
چکیده
The disparity energy model can interpret a variety of physiological properties of binocular neurons in the early visual cortex quantitatively. Therefore, many physiologically plausible models for binocular stereopsis employed the disparity energy model as a model neuron. These models can explain a variety of psychological findings concerning stereo perception. However, most of the models cannot handle with stereo transparency. Here, we develop a simple stereo model for transparency perception with the hybrid-type disparity energy model, and examine the ability to detect overlapping disparities. Computer simulations showed the model properties of transparency detection are consistent with many psychophysical findings concerning stereo transparency.
منابع مشابه
Solving Stereo Transparency with an Extended Coarse-to-Fine Disparity Energy Model
Modeling stereo transparency with physiologically plausible mechanisms is challenging because in such frameworks, large receptive fields mix up overlapping disparities, whereas small receptive fields can reliably compute only small disparities. It seems necessary to combine information across scales. A coarse-to-fine disparity energy model, with both position- and phase-shift receptive fields, ...
متن کاملOptimizing Disparity Candidates Space in Dense Stereo Matching
In this paper, a new approach for optimizing disparity candidates space is proposed for the solution of dense stereo matching problem. The main objectives of this approachare the reduction of average number of disparity candidates per pixel with low computational cost and high assurance of retaining the correct answer. These can be realized due to the effective use of multiple radial windows, i...
متن کاملCamera Arrangement in Visual 3D Systems using Iso-disparity Model to Enhance Depth Estimation Accuracy
In this paper we address the problem of automatic arrangement of cameras in a 3D system to enhance the performance of depth acquisition procedure. Lacking ground truth or a priori information, a measure of uncertainty is required to assess the quality of reconstruction. The mathematical model of iso-disparity surfaces provides an efficient way to estimate the depth estimation uncertainty which ...
متن کاملThe Use of Fuzzy, Neural Network, and Adaptive Neuro-Fuzzy Inference System (ANFIS) to Rank Financial Information Transparency
Ranking of a company's financial information is one of the most important tools for identifying strengths and weaknesses and identifying opportunities and threats outside the company. In this study, it is attempted to examine the financial statements of companies to rank and explain the transparency of financial information of 198 companies during 2009-2017 using artificial intelligence and neu...
متن کاملالگوسازی و پیشبینی مصرف انرژی بخش حمل و نقل ایران: کاربردی از الگوهای هوش مصنوعی
Ever-increasing dependence of human life on energy has made this factor play a critically crucial role either potentially or actively in the functions of various economic sectors of countries. Therefore, the people in charge of any country should try to make exact forecasting of energy consumption and make correct planning about its consumption in a way to optimally control supply-demand parame...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006